Showing 3 results for Alipour
R. Kamgar, R. Alipour, S. Rostami,
Volume 12, Issue 4 (8-2022)
Abstract
Explosions are inevitable in today’s world; therefore, building structures may be dynamically loaded by an intense loading during the explosion. This is why regulatory bodies have provided instructions for determining the response of structures under the explosion load. Previous research has shown that when the explosion happens close to a structure, the ground explosion load can be modeled as tensile and compressive loads. This research investigates the response of an elastic-plastic single-degree-of-freedom system subjected to different explosive loads with different positive durations. The maximum intensity of blast load and blast duration remains constant, and the positive phase duration is the only variable that changes. The nonlinear dynamic responses of a single-degree-of-freedom system (i.e., displacement, velocity, acceleration, and ductility) are calculated using the linear acceleration method. The results show that increasing the positive phase duration and the amount of positive impact can increase the maximum displacement and ductility of the system. Also, it can be concluded that the maximum acceleration of the studied systems remains constant when the values for the blast impact and positive phase durations change.
A. Fatholahi, S. Sadat Sajadieh, R. Kamgar, R. Rohani Sarvestani, R. Alipour,
Volume 13, Issue 3 (7-2023)
Abstract
Improving the quality of open spaces and human comfort is necessary for more human-inaccessible spaces. Therefore, bus stations as open spaces for traveling thousands of people continuously are considered essential in absorbing sun rays and providing comfort. This paper investigates the performance of BRT stations in Tehran province in the summer, considering the highest shading. The second stage proposes a new graphic cable-stayed roof to compare the sun's path and shade. Ten stations of Moein-Tajrish terminals with South-North orientation were selected in this regard. Then, all the station details were calculated and analyzed in the Grasshopper Modeling Software. And the shadow and sunlight were evaluated and analyzed during the summer months between 12 am to 2 pm at noon. In order to evaluate the compatibility of the selected samples, three variables, including orientation, the height of the awning, and the slope of the awning, were considered orientation of 5, the height of 1, and the gradient of 19 introduced as the most optimal model. Also, studies and analyses were carried out in Honey Bee & Ladybug plugins, including Qualitative Analysis, Hourly Quantitative Analysis, and Energy Quantitative Analysis. The results showed that the selected case sample is more than 55% in the desired shading. The second stage proposes a new graphic cable-stayed roof to compare the sun's path and shade for the structure.
Mr. A. Alipour, Dr. D. Sedaghat Shayegan, Dr. A. A. Amirkardoust,
Volume 16, Issue 3 (7-2026)
Abstract
Deciding where to place temporary facilities on a construction site is one of the more consequential choices a project team makes, since that arrangement shapes how materials and people move around the site, how accessible different zones are, and how smoothly logistics run overall. This paper examines whether the Mouth Brooding Fish (MBF) algorithm can handle a standard construction site layout planning problem. The goal is to minimize the total distance that must be traveled between facilities that interact with each other. A well-known benchmark involving eleven facilities and eleven predetermined locations is solved with MBF and compared against Genetic Algorithm (GA), Ant Colony Optimization (ACO), Colliding Bodies Optimization (CBO), and Enhanced Colliding Bodies Optimization (ECBO). Fifty independent runs are performed, each with 200 iterations. The best solution obtained by MBF yields a total travel distance of 12,538, while the mean, worst, and standard deviation values are 12,608, 12,888, and 96, respectively. These figures place MBF in a competitive position relative to the other methods on this particular benchmark. The study does not claim direct field validation for oil and gas projects; rather, it demonstrates that the optimization framework works on a benchmark whose structure is relevant to industrial construction logistics. Further work that incorporates project-specific constraints and actual field data is recommended.
